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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 23960
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    INDEX
    Explanations

    mentions of large or significant quantities or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of large creatures or Pokémon

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gemony
    -0.79
    roma
    -0.77
    apple
    -0.77
    Reviewed
    -0.75
    yer
    -0.74
    nan
    -0.73
    ilk
    -0.72
    nery
    -0.72
    pring
    -0.71
    Dialogue
    -0.70
    POSITIVE LOGITS
     amounts
    1.22
     amount
    1.05
     quantities
    1.04
     undertaking
    1.01
     swath
    0.93
     sums
    0.93
     earthqu
    0.92
     proportions
    0.90
     influx
    0.90
     chunks
    0.88
    Activations Density 0.071%

    No Known Activations